SAW-Bench - Spatial Memory: leaderboard

Metric: Accuracy (%) on the 100 spatial memory questions (what changed in the scene between two visits) of the SAW-Bench multiple-choice questions about 786 egocentric videos recorded with Ray-Ban Meta (Gen 2) smart glasses (no audio); zero-shot; 2 frames per second where the model supports it (32 frames, or 8 for InternVL3 38B and InternVL2 40B, otherwise); answers parsed by regular expression, else by GPT-4o-mini; higher is better. Source: arxiv.org. Saturation forecast: Around August 2027. 23 models tracked.

Top models

#ModelScoreOverall rank
1Gemini 2.5 Pro66#145
2Gemini 3 Flash (Preview)66#78
3GPT-5.2 (Medium)63#105 (GPT-5.2)
4Gemini 3 Pro (Preview) (Low)63#64 (Gemini 3 Pro (Preview))
5GPT-5 Mini (2025-08-07)56#165
6InternVL3-14B54#494
7Qwen 3 VL 30B A3B (Thinking)54#338 (Qwen 3 VL 30B A3B)
8Qwen 3 VL 32B (Thinking)52#287 (Qwen 3 VL 32B)
9Gemini 2.5 Flash49#237
10Qwen 3 VL 8B (Thinking)48
11InternVL3-8B46#606
12InternVL3-38B46#395
13Qwen 3 VL 235B A22B (Thinking)46#228 (Qwen 3 VL 235B A22B)
14Qwen 2.5 VL 72B Instruct45#364
15Qwen 2.5 VL 32B Instruct45#443

No result here: #3 Claude Opus 5.5, #5 GPT-6 Astra, #8 Claude Fable 5.1.

Interactive version: theaggregate.ai/benchmark?slug=saw-bench-spatial-memory · How It Works · Data refreshed daily, snapshot 2026-10-11.